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Introduction to Quantum Computing (MULT90063)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
Semester 1
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This subject will introduce students to the world of quantum information technology, focusing on the fast developing area of quantum computing. The subject will cover basic principles of quantum logic operations in both digital and analogue approaches to quantum processors, through to quantum error correction and the implementation of quantum algorithms for real-world problems. In lab-based classes students will learn to use state-of-the-art quantum computer programing and simulation environments to complete a range of projects.

Intended learning outcomes

On completion of this subject, students should:

  • Have acquired a basic knowledge of quantum computers and quantum algorithms.
  • Have developed a detailed knowledge of quantum logic operations in both digital and analogue approaches to quantum computing.
  • Have developed detailed knowledge and practical experience in programming quantum computers to perform high-level algorithmic tasks.
  • Understood and be able to communicate advances in quantum computer technology.

Generic skills

  • - problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies; - analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis; - collaborative skills: the ability to work in a team in a computer lab-based environment; - time-management skills: the ability to meet regular deadlines

Last updated: 17 April 2024

Eligibility and requirements

Prerequisites

One of

Code Name Teaching period Credit Points
MAST10006 Calculus 2
Summer Term (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
 12.5
MAST10007 Linear Algebra
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
MAST10008 Accelerated Mathematics 1
Semester 1 (On Campus - Parkville)
 12.5
MAST10009 Accelerated Mathematics 2
Semester 2 (On Campus - Parkville)
 12.5
MAST10021 Calculus 2: Advanced
Semester 2 (On Campus - Parkville)
 12.5
MAST10022 Linear Algebra: Advanced
Semester 1 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

None

Inherent requirements (core participation requirements)

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

Last updated: 17 April 2024

Assessment

Semester 2

DescriptionTimingPercentage

Assignnment 1

  • 1500 words
Week 630%

Assignment 2

  • 1500 words
Week 1230%

Written Examination

  • 2 hours
During the examination period40%

Last updated: 17 April 2024

Dates & times

  • Semester 1
    Principal coordinatorsLucas Fabian Hackl and Lloyd Hollenberg
    Mode of deliveryOn Campus (Parkville)
    Contact hoursTotal of 60 contact hours: 2 x 1 lectures, and 1 x 3 hour computer laboratory session per week
    Total time commitment150 hours
    Teaching period26 February 2024 to 26 May 2024
    Last self-enrol date 8 March 2024
    Census date 3 April 2024
    Last date to withdraw without fail 3 May 2024
    Assessment period ends21 June 2024

Time commitment details

Approximately 2.5 hours per contact hour.

What do these dates mean

Visit this webpage to find out about these key dates, including how they impact on:

  • Your tuition fees, academic transcript and statements.
  • And for Commonwealth Supported students, your:
    - Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).

    Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.

Last updated: 17 April 2024

Further information

  • Texts

    Prescribed texts

    Recommended texts and other resources

    An Introduction to Quantum Computing 1st Edition

    by Phillip Kaye, Raymond Laflamme, and Michele Mosca

    Quantum Computing: A Gentle Introduction

    by Eleanor G. Rieffel and Wolfgang H. Polak

  • Available to Study Abroad and/or Study Exchange Students

    This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 17 April 2024